本文選題：動態(tài)偏離-份額分析法　切入點：權偏誤　出處：《統(tǒng)計與信息論壇》2017年06期 　論文類型：期刊論文

【摘要】：為突破傳統(tǒng)動態(tài)偏離-份額法存在的"由于同度量因素采用不同時期所造成的‘權偏誤’問題,與無法將單因素純影響從交互作用中單獨剝離"兩種局限性,借鑒對數(shù)平均迪氏指數(shù)法構建改進的動態(tài)偏離-份額分析法。結果表明:改進方法不僅彌補傳統(tǒng)方法的兩種缺陷,保證了分解結果的唯一性與精確性,而且具有很強的可操作性與實用性,是一種有效的以偏離-份額法為基礎的增長因素分解分析方法。
[Abstract]:In order to break through the limitation of the traditional dynamic deviation-share method, "weight bias" caused by the same measurement factors in different periods, and the inability to separate the pure influence of single factor from the interaction, are two kinds of limitations. Based on the logarithmic average Dee exponent method, an improved dynamic deviation-share analysis method is constructed. The results show that the improved method not only makes up for the two defects of the traditional method, but also ensures the uniqueness and accuracy of the decomposition results. Moreover, it has strong maneuverability and practicability. It is an effective growth factor decomposition analysis method based on deviation-share method.
【作者單位】： 安陽師范學院經(jīng)濟學院;
【基金】：教育部人文社會科學研究青年基金項目《居民最終消費間接能耗的高效核算方法研究》(14YJC910001) 河南省科技攻關計劃項目《新常態(tài)下河南省居民消費載能碳排放的改進核算方法研究》(162102310384) 河南省高等學校重點研究項目《河南省生產(chǎn)性服務業(yè)發(fā)展規(guī)律與結構性特征研究——基于“發(fā)展悖論”視角》(15A910001)
【分類號】：C81
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本文編號：1585142